Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
Unfolds generate data structures, and folds consume them. A hylomorphism is a fold after an unfold, generating then consuming a virtual data structure. A metamorphism is the opposi...
As modern organizations increasingly operate in a global economy, they need IT support around the globe; favorable economic conditions also encourage the use of offshore IT teams....
In order to understand organizational memory, it is important to understand how things become adopted as memory resources in organizations. In this paper, we describe the genesis ...
— Instability in packet-switching networks is normally associated with overload conditions, since queueing network models show that, in simple configurations, only overload gene...
Marco Ajmone Marsan, Mirko Franceschinis, Emilio L...